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Computation of the travelling salesman problem by a shrinking blob
by Jones, Jeff
Natural computing, 2013, Vol.13 (1), p.1-16

2.
Posterior Summarization in Bayesian Phylogenetics Using Tracer 1.7
by Rambaut, Andrew
Systematic biology, 2018, Vol.67 (5), p.901-904

3.
Fundamentals and Recent Developments in Approximate Bayesian Computation
by Lintusaari, Jarno
Systematic biology, 2017, Vol.66 (1), p.e66-e82

4.
Computation with finite stochastic chemical reaction networks
by Soloveichik, David
Natural computing, 2008, Vol.7 (4), p.615-633

5.
Linking Connectivity, Dynamics, and Computations in Low-Rank Recurrent Neural Networks
by Mastrogiuseppe, Francesca
Neuron (Cambridge, Mass.), 2018, Vol.99 (3), p.609-623.e29

6.
Simulating chemistry using quantum computers
by Kassal, Ivan
Annual review of physical chemistry, 2011, Vol.62 (1), p.185-207

7.
Probability 1 computation with chemical reaction networks
by Cummings, Rachel
Natural computing, 2015, Vol.15 (2), p.245-261

8.
What Is High-Throughput Virtual Screening? A Perspective from Organic Materials Discovery
by Pyzer-Knapp, Edward O
Annual review of materials research, 2015, Vol.45 (1), p.195-216

10.
Rigorous location of phase transitions in hard optimization problems
by Achlioptas, Dimitris
Nature, 2005, Vol.435 (7043), p.759-764

11.
Shotgun metagenomics, from sampling to analysis
by Quince, Christopher
Nature biotechnology, 2017, Vol.35 (9), p.833-844

12.
A topological insight into restricted Boltzmann machines
by Mocanu, D.C
Machine learning, 2016, Vol.104 (2), p.243-270

13.
Non-low^sub 2^-ness and computable Lipschitz reducibility
by Yun Fan
Acta mathematica Sinica. English series, 2017, Vol.33 (9), p.1184

14.
Practical Session: Simple Linear Regression
by Clausel, M.
EAS Publications Series, 2014, Vol.66, p.41-44

15.
Generating Shorter Bases for Hard Random Lattices
by Alwen, Joël
Theory of computing systems, 2010, Vol.48 (3), p.535-553

16.
Practical Session: Introduction to R
by Clausel, M.
EAS Publications Series, 2014, Vol.66, p.11-18

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TransGPerf: Exploiting Transfer Learning for Modeling Distributed Graph Computation Performance
by Niu, Songjie
Journal of computer science and technology, 2021, Vol.36 (4), p.778-791

18.
Functional individuation, mechanistic implementation: the proper way of seeing the mechanistic view of concrete computation
by Coelho Mollo, Dimitri
Synthese (Dordrecht), 2018, Vol.195 (8), p.3477-3497

19.
End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography
by Ardila, Diego
Nature medicine, 2019, Vol.25 (6), p.954-961

20.
Canonical Microcircuits for Predictive Coding
by Bastos, Andre M
Neuron (Cambridge, Mass.), 2012, Vol.76 (4), p.695-711
